Marjan Ghazvininejad

According to our database, Marjan Ghazvininejad authored at least 48 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge.

Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason Weston, Tianlu Wang

CoRR, January, 2025

2024

ALMA: Alignment with Minimal Annotation.

Michihiro Yasunaga, Leonid Shamis, Chunting Zhou, Andrew Cohen, Jason Weston, Luke Zettlemoyer, Marjan Ghazvininejad

CoRR, 2024

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations.

Xiaochuang Han, Marjan Ghazvininejad, Pang Wei Koh, Yulia Tsvetkov

CoRR, 2024

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Representation Deficiency in Masked Language Modeling.

Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad

CoRR, 2023

Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation.

Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer

CoRR, 2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.

Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-context Examples Selection for Machine Translation.

Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Review on Language Models as Knowledge Bases.

Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona T. Diab, Marjan Ghazvininejad

CoRR, 2022

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation.

Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Natural Language to Code Translation with Execution.

Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Discourse-Aware Soft Prompting for Text Generation.

Marjan Ghazvininejad, Vladimir Karpukhin, Vera Gor, Asli Celikyilmaz

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Discourse-Aware Prompt Design for Text Generation.

Marjan Ghazvininejad, Vladimir Karpukhin, Asli Celikyilmaz

CoRR, 2021

EASE: Extractive-Abstractive Summarization with Explanations.

Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad

CoRR, 2021

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation.

Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog.

Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan, Marjan Ghazvininejad

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DeLighT: Deep and Light-weight Transformer.

Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 9th International Conference on Learning Representations, 2021

Distributionally Robust Multilingual Machine Translation.

Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation.

Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Detecting Hallucinated Content in Conditional Neural Sequence Generation.

Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks.

Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Multilingual Denoising Pre-training for Neural Machine Translation.

Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer

Trans. Assoc. Comput. Linguistics, 2020

Detecting Hallucinated Content in Conditional Neural Sequence Generation.

Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad

CoRR, 2020

DeLighT: Very Deep and Light-weight Transformer.

Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi

CoRR, 2020

Semi-Autoregressive Training Improves Mask-Predict Decoding.

Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer

CoRR, 2020

Parallel Machine Translation with Disentangled Context Transformer.

Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu

CoRR, 2020

Pre-training via Paraphrasing.

Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Non-autoregressive Machine Translation with Disentangled Context Transformer.

Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu

Proceedings of the 37th International Conference on Machine Learning, 2020

Aligned Cross Entropy for Non-Autoregressive Machine Translation.

Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy

Proceedings of the 37th International Conference on Machine Learning, 2020

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Simple and Effective Retrieve-Edit-Rerank Text Generation.

Nabil Hossain, Marjan Ghazvininejad, Luke Zettlemoyer

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Constant-Time Machine Translation with Conditional Masked Language Models.

Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer

CoRR, 2019

Mask-Predict: Parallel Decoding of Conditional Masked Language Models.

Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation.

Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation.

Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation.

Nima Pourdamghani, Marjan Ghazvininejad, Kevin Knight

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Poetry Translation.

Marjan Ghazvininejad, Yejin Choi, Kevin Knight

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Knowledge-Grounded Neural Conversation Model.

Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Humans Outperform Machines at the Bilingual Shannon Game.

Marjan Ghazvininejad, Kevin Knight

Entropy, 2017

Hafez: an Interactive Poetry Generation System.

Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi, Kevin Knight

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Generating Topical Poetry.

Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Learning and Optimization with Submodular Functions.

Bharath Sankaran, Marjan Ghazvininejad, Xinran He, David C. Kale, Liron Cohen

CoRR, 2015

Hierarchical Active Transfer Learning.

David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

How to Memorize a Random 60-Bit String.

Marjan Ghazvininejad, Kevin Knight

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

How Much Information Does a Human Translator Add to the Original?

Barret Zoph, Marjan Ghazvininejad, Kevin Knight

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013

From Local Similarity to Global Coding: An Application to Image Classification.

Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning.

Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban

Proceedings of the 11th IEEE International Conference on Data Mining, 2011